🛠 Tech Stack

💼 About This Role

You'll lead the design and development of scalable, cloud-native data and ML platform systems that power AI and ML products. You will architect foundational data infrastructure enabling real-time and batch data services for training, inference, and feedback loops. This role offers high impact on technical direction and cross-functional partnership.

🎯 What You'll Do

• Architect core data and software systems for AI/ML platforms.
• Design scalable data pipelines, APIs, and platform services.
• Build real-time and batch data frameworks for ML training and inference.
• Drive platform scalability, reliability, and engineering excellence.

📋 Requirements

• 7+ years in software engineering, data infrastructure, or ML platform roles.
• Strong expertise in Python, Java, and/or PySpark.
• Proven experience designing and scaling cloud-native data and ML systems in GCP and Databricks.
• Deep understanding of distributed systems, system design, and data modeling.

✨ Nice to Have

• Master's degree in Computer Science or related field.
• Experience with automated testing and deployment best practices.

🎁 Benefits & Perks

• 💵 Competitive compensation
• 🏖️ Flexible PTO
• 🏥 Health benefits